eprintid: 7615
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/76/15
datestamp: 2023-11-09 16:19:26
lastmod: 2023-11-09 16:19:26
status_changed: 2023-11-09 16:09:54
type: article
metadata_visibility: show
creators_name: Gebremedhen, H.S.
creators_name: Woldemichael, D.E.
creators_name: Hashim, F.M.
title: A literature survey on challenges in stress based topology optimization
ispublished: pub
note: cited By 0
abstract: Topology optimization is an optimization technique used to find optimal material distribution with in a given design domain under applied loads and boundary conditions. Most of the developments in structural topology optimization have been formulated and solved for minimizing compliance. The absence of considering the displacement and stress constraints in the formulation and solution of topology optimization problems may lead the unfeasible optimal solutions where stress and displacement constraints are crucial criteria for the design considered. To include these two crucial elements in the optimization process some efforts have been devoted to formulate and solve the optimization problem by including stress constraints. Though considering the stress constraint in the optimization model is closer to the engineering point of view it facing three main challenges associated with the constraints. This paper aims to explore and discuss the three challenges in stress based topology optimization along with the proposed solutions. © 2006-2016 Asian Research Publishing Network (ARPN). All rights reserved.
date: 2016
publisher: Asian Research Publishing Network
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009198142&partnerID=40&md5=2650dd32ff84cd58d77cff6eb2de5e14
full_text_status: none
publication: ARPN Journal of Engineering and Applied Sciences
volume: 11
number: 24
pagerange: 14188-14194
refereed: TRUE
issn: 18196608
citation:   Gebremedhen, H.S. and Woldemichael, D.E. and Hashim, F.M.  (2016) A literature survey on challenges in stress based topology optimization.  ARPN Journal of Engineering and Applied Sciences, 11 (24).  pp. 14188-14194.  ISSN 18196608